GEPTA/40&overMX/4.0/Woo/EPTC#1

SouthernNewMexico · 2026 USA MIXED 40 & OVER LEAGUE

13 players · average NTRP 3.75 / GEPTA

Flight standings for 2026 USA MIXED 40 & OVER LEAGUE have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.60 estimated across 3 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.90

Mike Caldarella

usually #1 Doubles 44%, also #2 Doubles 25% · published —

3.69

Aaron Setliff

usually #1 Doubles 60%, also #3 Doubles 20% · published 4

3.21

Arvind Singhal

usually #3 Doubles 50%, also #2 Doubles 40% · published 3.5

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Genevieve Pendergras

usually #3 Doubles 60%, also #1 Doubles 20% · published —

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Harsh Tayal

usually #2 Doubles 47%, also #1 Doubles 35% · published —

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Jennifer Woo

usually #2 Doubles 47%, also #1 Doubles 41% · published —

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Juan Herrera

usually #1 Doubles 43%, also #2 Doubles 25% · published —

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Lori DeLisser

usually #2 Doubles 44%, also #3 Doubles 30% · published —

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Michael Bezemek

usually #2 Doubles 50%, also #1 Doubles 42% · published —

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Peter Ruiz

usually #1 Doubles 33%, also #3 Doubles 33% · published —

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Priscilla Cossentino

usually #3 Doubles 67%, also #2 Doubles 33% · published —

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Steven Haynes

usually #1 Doubles 38%, also #2 Doubles 38% · published —

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Tina Gute

usually #3 Doubles 44%, also #2 Doubles 38% · published —

Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Steven Haynes + Michael Bezemek	4–8	48% games	−1.5% vs expected
Tina Gute + Genevieve Pendergras	11–4	58% games	not enough data
Harsh Tayal + Arvind Singhal	3–2	59% games	not enough data
Jennifer Woo + Aaron Setliff	2–3	50% games	not enough data
Steven Haynes + Lori DeLisser	2–2	4 matches	not enough data
Peter Ruiz + Arvind Singhal	2–1	3 matches	not enough data

Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

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Mike Caldarella

41W–40L career · 15 lines in 2026

<1%77%23%

3.90

Aaron Setliff

14W–27L career · 5 lines in 2026

9%90%1%

3.69

3.5

Arvind Singhal

50W–47L career · 10 lines in 2026

6%92%2%

3.21

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Genevieve Pendergras

68W–38L career · 10 lines in 2026

not enough data

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Harsh Tayal

25W–30L career · 17 lines in 2026

not enough data

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Jennifer Woo

81W–101L career · 17 lines in 2026

not enough data

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Juan Herrera

42W–44L career · 27 lines in 2026

not enough data

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Lori DeLisser

94W–74L career · 23 lines in 2026

not enough data

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Michael Bezemek

96W–84L career · 12 lines in 2026

not enough data

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Peter Ruiz

33W–44L career · 3 lines in 2026

not enough data

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Priscilla Cossentino

32W–53L career · 6 lines in 2026

not enough data

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Steven Haynes

79W–57L career · 8 lines in 2026

not enough data

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Tina Gute

74W–62L career · 16 lines in 2026

not enough data

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Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.